|M.Sc Student||Granot Yael|
|Subject||The Allocation of Areas, Number of Users and Budgets for|
Planning and Design of Science and Engineering
Faculty Buldings. Comparative Analysis
of Programs and Structures
|Department||Department of Architecture and Town Planning||Supervisor||Professor Emeritus Avraham Wachman (Deceased)|
|Full Thesis text - in Hebrew|
This research deals with building for Science and Engineering faculties, based on comparing analysis between programs and constructions built during the past decade in Israel’s University campuses, focusing on interrelation of Space Allocation; number of Users; Budget.
The research scans 15 faculty buildings in Israel, covering over 143,000 m2 gross, having about 90,000 m2 net area.
The study is divided into two main parts:
In the 21st century a lot of development in science and engineering are expected.
Like all over the world, a huge drive of scientific and technological research is taking place in Israel universities. We witness a significant growth in the number of students choosing Science and Engineering.
This requires more Science and Engineering Faculties' buildings.
At the beginning, each project confronts the questions about the growing changes and demands.
Most of the science and engineering faculties in all universities share similar functions and criteria.
There is still no comprehensive Data-Base for proper buildings in the various campuses, and there are only few methodic Programs.
The main one: To develop a method for a primary quantitative Program. It is relevant to all those involved in the process: Entrepreneurs; Architects; Engineers; Economists and Public authorities.
Other Goals: Building a substantial Data-Baseto deal with Space Allocation; Expected Number of Users, and the Cost of the projects.
For all these - the Programming is the imperative first step in the building process.
This chapter deals with the procedure of data collection, aiming at conclusions and recommendations.
The Data Collection focused on three topics: Gross and Net area of the building spaces; Predicting the Number of Users; The Building-Costs.
All the data in this work is presented in tables, in order to allocate the factors:
When two Data Factors are known - the third one can be derived.
The contribution of the research
This research can be the beginning of a proper Data-Based Programming, to serve every university.
This tool can also be applied to other Faculties in Universities (e.g. humanities, medicine and others).
The "Tool" method developed in this research, can contribute to achieve better solutions for science and technology buildings in universities, for the coming.